A new automatic mass detection method for breast cancer with false positive reduction

Neurocomputing

Volumn 152, Issue , 2015, Pages 388-402

  Liu, Xiaoming ^a,b,c,d   Zeng, Zhigang ^a,b  

^a HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^b BEIJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS   (China)

^c WUHAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^d Processing and Real time Industrial System   (China)

Author keywords

Breast cancer; Level set; Local binary pattern; Mass detection; Support vector machine

Indexed keywords

COMPUTER AIDED DIAGNOSIS; DISEASES; MAMMOGRAPHY; PATTERN RECOGNITION; SUPPORT VECTOR MACHINES; TEXTURES; X RAY SCREENS;

BREAST CANCER; COMPUTER AIDED DETECTION SYSTEMS; FALSE-POSITIVE REDUCTION; GRAY LEVEL CO OCCURRENCE MATRIX(GLCM); LEVEL SET; LOCAL BINARY PATTERNS; MASS DETECTION; OPERATING CHARACTERISTICS;

MEDICAL IMAGING;

ARTICLE; AUTOMATION; BREAST CANCER; CANCER DIAGNOSIS; COMPUTER ASSISTED DIAGNOSIS; CRANIOCAUDAL VIEW; FALSE POSITIVE RESULT; FREE RESPONSE OPERATING CHARACTERISTIC; IMAGE ANALYSIS; IMAGE DISPLAY; IMAGE ENHANCEMENT; IMAGE PROCESSING; INTERMETHOD COMPARISON; MAMMOGRAPHY SYSTEM; MEDIOLATERAL OBLIQUE VIEW; SENSITIVITY ANALYSIS; STATISTICAL CONCEPTS; SUPPORT VECTOR MACHINE;

EID: 84921048023     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2014.10.040     Document Type: Article

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